Instructions to use OpenNMT/codet5p-770m-ct2-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenNMT/codet5p-770m-ct2-int8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("OpenNMT/codet5p-770m-ct2-int8") model = AutoModelForSeq2SeqLM.from_pretrained("OpenNMT/codet5p-770m-ct2-int8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49c6ff9ac945e1fb6748966547c077744b18761afb80d492b5aed15f3ffb86ef
- Size of remote file:
- 740 MB
- SHA256:
- 4146e5369fa7e1dc7d8d482f5223b5581425226d4c660fa1fbaac3f1db981a6c
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